Image Object Detection Model for Random Sample Images Using TensorFlow Take 6

David Lowe

December 31, 2021

Template Credit: Adapted from an Object Detection tutorial on TensorFlow.org.

SUMMARY: This project aims to construct an object detection model using the TensorFlow-based neural network and document the end-to-end steps using a template.

Adapted from the Original Script Location: https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/tf2_object_detection.ipynb

This iteration will use the TF2 Mask R-CNN Inception ResNet V2 1024x1024 object detection model to test some sample images. The model was constructed using the Mask R-CNN Object detection model and trained on COCO 2017 dataset with training images scaled to 1024x1024.

Images Used: 1. Airport runway; 2. Tanzania Safari; 3. Streets with Cars; 4. Public Library

Dataset ML Model: Image Object Detection using TensorFlow Hub Models

Additional References: https://tfhub.dev/s?module-type=image-object-detection

Task 1 - Prepare Environment

Task 2 - Set up Visualization and Helper Functions

Task 3 - Prepare and Load Model

Task 4 - Load Images and Apply Model